10405900
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8243666
C
0.1931405813574998
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.018465160097816957
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.6632914931057149
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
8683
16360
shrinking
false
16360
tol
0.00021705565259483357
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21733586
description
https://api.openml.org/data/download/21733586/description.xml
-1
21733587
predictions
https://api.openml.org/data/download/21733587/predictions.arff
area_under_roc_curve
0.8163888888888888 [0.9975,0.629722,0.903611,0.903333,0.765278,0.930278,0.765556,0.755833,0.894722,0.618056]
average_cost
0
f_measure
0.6674552914228709 [0.997494,0.388693,0.831234,0.862434,0.582278,0.840855,0.477941,0.488978,0.861789,0.342857]
kappa
0.6327777777777778
kb_relative_information_score
0.6543771493697128
mean_absolute_error
0.06610000000000052
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7002920310739293 [1,0.662651,0.837563,0.91573,0.589744,0.800905,0.377907,0.408027,0.940828,0.469565]
predictive_accuracy
0.6695
prior_entropy
3.3219280948872383
recall
0.6695 [0.995,0.275,0.825,0.815,0.575,0.885,0.65,0.61,0.795,0.27]
relative_absolute_error
0.36722222222221373
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2570992026436498
root_relative_squared_error
0.8569973421454863
total_cost
0
area_under_roc_curve
0.7888888888888889 [0.975,0.594444,0.852778,0.925,0.825,0.997222,0.630556,0.713889,0.847222,0.527778]
area_under_roc_curve
0.8194444444444444 [1,0.638889,0.838889,0.919444,0.755556,0.933333,0.861111,0.733333,0.95,0.563889]
area_under_roc_curve
0.8305555555555556 [1,0.694444,0.916667,0.869444,0.794444,0.938889,0.794444,0.730556,0.922222,0.644444]
area_under_roc_curve
0.8138888888888889 [1,0.588889,0.922222,0.919444,0.819444,0.888889,0.769444,0.7,0.897222,0.633333]
area_under_roc_curve
0.8277777777777778 [1,0.666667,0.922222,0.916667,0.775,0.908333,0.75,0.811111,0.891667,0.636111]
area_under_roc_curve
0.8305555555555556 [1,0.663889,0.916667,0.875,0.655556,0.955556,0.8,0.855556,0.95,0.633333]
area_under_roc_curve
0.825 [1,0.622222,0.894444,0.919444,0.730556,0.936111,0.844444,0.797222,0.919444,0.586111]
area_under_roc_curve
0.811111111111111 [1,0.644444,0.888889,0.919444,0.780556,0.891667,0.838889,0.738889,0.75,0.658333]
area_under_roc_curve
0.8333333333333333 [1,0.538889,0.997222,0.944444,0.775,0.916667,0.716667,0.738889,0.972222,0.733333]
area_under_roc_curve
0.7833333333333331 [1,0.644444,0.886111,0.825,0.741667,0.936111,0.65,0.738889,0.847222,0.563889]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.6175731631778892 [0.974359,0.307692,0.697674,0.918919,0.651163,0.97561,0.301887,0.415094,0.8,0.133333]
f_measure
0.6620284343167637 [1,0.4,0.736842,0.871795,0.578947,0.818182,0.566667,0.478261,0.947368,0.222222]
f_measure
0.6952107987774281 [1,0.533333,0.85,0.810811,0.590909,0.857143,0.518519,0.468085,0.894737,0.428571]
f_measure
0.6621565791104023 [1,0.285714,0.894737,0.871795,0.622222,0.8,0.490566,0.416667,0.864865,0.375]
f_measure
0.6858409964888773 [1,0.466667,0.894737,0.85,0.585366,0.790698,0.48,0.583333,0.820513,0.387097]
f_measure
0.6872821997671541 [1,0.451613,0.85,0.857143,0.411765,0.826087,0.538462,0.615385,0.947368,0.375]
f_measure
0.6723652761415687 [1,0.384615,0.842105,0.871795,0.540541,0.837209,0.571429,0.528302,0.871795,0.275862]
f_measure
0.6623341409548306 [1,0.428571,0.8,0.871795,0.615385,0.820513,0.551724,0.444444,0.666667,0.424242]
f_measure
0.6893454242234731 [1,0.153846,0.97561,0.9,0.585366,0.85,0.423077,0.5,0.95,0.555556]
f_measure
0.6222297161803685 [1,0.428571,0.780488,0.787879,0.606061,0.837209,0.321429,0.444444,0.8,0.216216]
kappa
0.5777777777777778
kappa
0.638888888888889
kappa
0.6611111111111111
kappa
0.6277777777777779
kappa
0.6555555555555556
kappa
0.6611111111111111
kappa
0.65
kappa
0.6222222222222222
kappa
0.6666666666666666
kappa
0.5666666666666667
kb_relative_information_score
0.6026121535869463
kb_relative_information_score
0.6601288155677836
kb_relative_information_score
0.6810439653789969
kb_relative_information_score
0.6496712406621766
kb_relative_information_score
0.6758151779261936
kb_relative_information_score
0.6810439653789969
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.6444424532093733
kb_relative_information_score
0.6862727528318004
kb_relative_information_score
0.5921545786813394
mean_absolute_error
0.07599999999999989
mean_absolute_error
0.06499999999999993
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.06699999999999992
mean_absolute_error
0.06199999999999994
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06799999999999992
mean_absolute_error
0.05999999999999995
mean_absolute_error
0.07799999999999989
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.658900809335592 [1,0.666667,0.652174,1,0.608696,0.952381,0.242424,0.333333,0.933333,0.2]
precision
0.6910274082642505 [1,0.6,0.777778,0.894737,0.611111,0.75,0.425,0.423077,1,0.428571]
precision
0.7405817983759161 [1,0.8,0.85,0.882353,0.541667,0.818182,0.411765,0.407407,0.944444,0.75]
precision
0.6891440008220193 [1,0.5,0.944444,0.894737,0.56,0.8,0.393939,0.357143,0.941176,0.5]
precision
0.7092563259268064 [1,0.7,0.944444,0.85,0.571429,0.73913,0.4,0.5,0.842105,0.545455]
precision
0.7154632867132866 [1,0.636364,0.85,1,0.5,0.730769,0.4375,0.5,1,0.5]
precision
0.7195671209333884 [1,0.833333,0.888889,0.894737,0.588235,0.782609,0.444444,0.424242,0.894737,0.444444]
precision
0.7230876399142653 [1,0.75,0.8,0.894737,0.631579,0.842105,0.421053,0.352941,1,0.538462]
precision
0.6984226190476189 [1,0.333333,0.952381,0.9,0.571429,0.85,0.34375,0.458333,0.95,0.625]
precision
0.6835312854238687 [1,0.75,0.761905,1,0.769231,0.782609,0.25,0.352941,0.933333,0.235294]
predictive_accuracy
0.62
predictive_accuracy
0.675
predictive_accuracy
0.695
predictive_accuracy
0.665
predictive_accuracy
0.69
predictive_accuracy
0.695
predictive_accuracy
0.685
predictive_accuracy
0.66
predictive_accuracy
0.7
predictive_accuracy
0.61
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.62 [0.95,0.2,0.75,0.85,0.7,1,0.4,0.55,0.7,0.1]
recall
0.675 [1,0.3,0.7,0.85,0.55,0.9,0.85,0.55,0.9,0.15]
recall
0.695 [1,0.4,0.85,0.75,0.65,0.9,0.7,0.55,0.85,0.3]
recall
0.665 [1,0.2,0.85,0.85,0.7,0.8,0.65,0.5,0.8,0.3]
recall
0.69 [1,0.35,0.85,0.85,0.6,0.85,0.6,0.7,0.8,0.3]
recall
0.695 [1,0.35,0.85,0.75,0.35,0.95,0.7,0.8,0.9,0.3]
recall
0.685 [1,0.25,0.8,0.85,0.5,0.9,0.8,0.7,0.85,0.2]
recall
0.66 [1,0.3,0.8,0.85,0.6,0.8,0.8,0.6,0.5,0.35]
recall
0.7 [1,0.1,1,0.9,0.6,0.85,0.55,0.55,0.95,0.5]
recall
0.61 [1,0.3,0.8,0.65,0.5,0.9,0.45,0.6,0.7,0.2]
relative_absolute_error
0.42222222222222205
relative_absolute_error
0.36111111111111116
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.37222222222222223
relative_absolute_error
0.3444444444444445
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.35
relative_absolute_error
0.3777777777777777
relative_absolute_error
0.3333333333333334
relative_absolute_error
0.43333333333333324
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.2756809750418042
root_mean_squared_error
0.2549509756796391
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.25884358211089553
root_mean_squared_error
0.2489979919597745
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2607680962081058
root_mean_squared_error
0.24494897427831772
root_mean_squared_error
0.2792848008753786
root_relative_squared_error
0.9189365834726813
root_relative_squared_error
0.8498365855987976
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.8628119403696521
root_relative_squared_error
0.8299933065325821
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8692269873603533
root_relative_squared_error
0.8164965809277261
root_relative_squared_error
0.9309493362512626
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
804.4177099982335
usercpu_time_millis
812.6829610009736
usercpu_time_millis
802.7143170002091
usercpu_time_millis
803.4097730014764
usercpu_time_millis
804.4856159976916
usercpu_time_millis
804.7510920023342
usercpu_time_millis
802.8370249994623
usercpu_time_millis
804.271377997793
usercpu_time_millis
802.410988999327
usercpu_time_millis
799.0299960019911
usercpu_time_millis_testing
57.47122199863952
usercpu_time_millis_testing
58.37430900101026
usercpu_time_millis_testing
57.484540999212186
usercpu_time_millis_testing
57.89634100074181
usercpu_time_millis_testing
59.62092399931862
usercpu_time_millis_testing
57.57335500129557
usercpu_time_millis_testing
57.46245999944222
usercpu_time_millis_testing
57.94369899922458
usercpu_time_millis_testing
57.34425099944929
usercpu_time_millis_testing
57.50588200135098
usercpu_time_millis_training
746.946487999594
usercpu_time_millis_training
754.3086519999633
usercpu_time_millis_training
745.2297760009969
usercpu_time_millis_training
745.5134320007346
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
745.3745650000201
usercpu_time_millis_training
746.3276789985684
usercpu_time_millis_training
745.0667379998777
usercpu_time_millis_training
741.5241140006401
wall_clock_time_millis
804.4538497924805
wall_clock_time_millis
814.4350051879883
wall_clock_time_millis
802.727460861206
wall_clock_time_millis
803.4243583679199
wall_clock_time_millis
804.511547088623
wall_clock_time_millis
804.7609329223633
wall_clock_time_millis
802.8256893157959
wall_clock_time_millis
804.2941093444824
wall_clock_time_millis
802.4120330810547
wall_clock_time_millis
799.0357875823975
wall_clock_time_millis_testing
57.47866630554199
wall_clock_time_millis_testing
58.3949089050293
wall_clock_time_millis_testing
57.49106407165527
wall_clock_time_millis_testing
57.906150817871094
wall_clock_time_millis_testing
59.64779853820801
wall_clock_time_millis_testing
57.58023262023926
wall_clock_time_millis_testing
57.46936798095703
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
745.3563213348389
wall_clock_time_millis_training
746.340274810791
wall_clock_time_millis_training
745.0618743896484
wall_clock_time_millis_training
741.5237426757812